173 related articles for article (PubMed ID: 30237810)
41. An in-silico method leads to recognition of hub genes and crucial pathways in survival of patients with breast cancer.
Dashti S; Taheri M; Ghafouri-Fard S
Sci Rep; 2020 Oct; 10(1):18770. PubMed ID: 33128008
[TBL] [Abstract][Full Text] [Related]
42. Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validation.
Wang N; Zhang H; Li D; Jiang C; Zhao H; Teng Y
Bioengineered; 2021 Dec; 12(2):12431-12446. PubMed ID: 34895070
[TBL] [Abstract][Full Text] [Related]
43. Integrated Bioinformatics Approach Reveals Crosstalk Between Tumor Stroma and Peripheral Blood Mononuclear Cells in Breast Cancer.
He L; Wang D; Wei N; Guo Z
Asian Pac J Cancer Prev; 2016; 17(3):1003-8. PubMed ID: 27039717
[TBL] [Abstract][Full Text] [Related]
44. Genomic signatures of pregnancy-associated breast cancer epithelia and stroma and their regulation by estrogens and progesterone.
Harvell DM; Kim J; O'Brien J; Tan AC; Borges VF; Schedin P; Jacobsen BM; Horwitz KB
Horm Cancer; 2013 Jun; 4(3):140-53. PubMed ID: 23479404
[TBL] [Abstract][Full Text] [Related]
45. Identification of Genes with Prognostic Value in the Breast Cancer Microenvironment Using Bioinformatics Analysis.
Ren H; Hu D; Mao Y; Su X
Med Sci Monit; 2020 Apr; 26():e920212. PubMed ID: 32251269
[TBL] [Abstract][Full Text] [Related]
46. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
47. Molecular signatures suggest a major role for stromal cells in development of invasive breast cancer.
Casey T; Bond J; Tighe S; Hunter T; Lintault L; Patel O; Eneman J; Crocker A; White J; Tessitore J; Stanley M; Harlow S; Weaver D; Muss H; Plaut K
Breast Cancer Res Treat; 2009 Mar; 114(1):47-62. PubMed ID: 18373191
[TBL] [Abstract][Full Text] [Related]
48. Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
Wu JR; Zhao Y; Zhou XP; Qin X
Biomed Pharmacother; 2020 Jan; 121():109647. PubMed ID: 31733575
[TBL] [Abstract][Full Text] [Related]
49. The Overexpression of CD80 and ISG15 Are Associated with the Progression and Metastasis of Breast Cancer by a Meta-Analysis Integrating Three Microarray Datasets.
Li Y; Bai W; Zhang L
Pathol Oncol Res; 2020 Jan; 26(1):443-452. PubMed ID: 30411299
[TBL] [Abstract][Full Text] [Related]
50. Identification of genes associated with melanoma metastasis.
Qiu T; Wang H; Wang Y; Zhang Y; Hui Q; Tao K
Kaohsiung J Med Sci; 2015 Nov; 31(11):553-61. PubMed ID: 26678934
[TBL] [Abstract][Full Text] [Related]
51. Identification of prognostic molecular features in the reactive stroma of human breast and prostate cancer.
Planche A; Bacac M; Provero P; Fusco C; Delorenzi M; Stehle JC; Stamenkovic I
PLoS One; 2011; 6(5):e18640. PubMed ID: 21611158
[TBL] [Abstract][Full Text] [Related]
52. Bioinformatics analysis of differentially expressed miRNA-related mRNAs and their prognostic value in breast carcinoma.
Zhang GM; Goyal H; Song LL
Oncol Rep; 2018 Jun; 39(6):2865-2872. PubMed ID: 29693181
[TBL] [Abstract][Full Text] [Related]
53. In silico ascription of gene expression differences to tumor and stromal cells in a model to study impact on breast cancer outcome.
Myhre S; Mohammed H; Tramm T; Alsner J; Finak G; Park M; Overgaard J; Børresen-Dale AL; Frigessi A; Sørlie T
PLoS One; 2010 Nov; 5(11):e14002. PubMed ID: 21124964
[TBL] [Abstract][Full Text] [Related]
54. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis.
Liu L; He C; Zhou Q; Wang G; Lv Z; Liu J
J Cell Physiol; 2019 Dec; 234(12):23647-23657. PubMed ID: 31169306
[TBL] [Abstract][Full Text] [Related]
55. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
Yu-Jing T; Wen-Jing T; Biao T
Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
[TBL] [Abstract][Full Text] [Related]
56. Elevated CXCL1 expression in breast cancer stroma predicts poor prognosis and is inversely associated with expression of TGF-β signaling proteins.
Zou A; Lambert D; Yeh H; Yasukawa K; Behbod F; Fan F; Cheng N
BMC Cancer; 2014 Oct; 14():781. PubMed ID: 25344051
[TBL] [Abstract][Full Text] [Related]
57. Fabrication Method of a High-Density Co-Culture Tumor-Stroma Platform to Study Cancer Progression.
Saini H; Nikkhah M
Methods Mol Biol; 2021; 2258():241-255. PubMed ID: 33340365
[TBL] [Abstract][Full Text] [Related]
58. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.
Zhang K; Kong X; Feng G; Xiang W; Chen L; Yang F; Cao C; Ding Y; Chen H; Chu M; Wang P; Zhang B
J Ovarian Res; 2018 Feb; 11(1):16. PubMed ID: 29482638
[TBL] [Abstract][Full Text] [Related]
59. Transcriptome analyses identify key genes and potential mechanisms in a rat model of osteoarthritis.
Li HZ; Lu HD
J Orthop Surg Res; 2018 Dec; 13(1):319. PubMed ID: 30551734
[TBL] [Abstract][Full Text] [Related]
60. Key genes associated with pancreatic cancer and their association with outcomes: A bioinformatics analysis.
Wu J; Li Z; Zeng K; Wu K; Xu D; Zhou J; Xu L
Mol Med Rep; 2019 Aug; 20(2):1343-1352. PubMed ID: 31173193
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
